Fuzzy Sets in Engineering Design and Configuration by Hans-Jürgen Sebastian - ISBN: 9780792398028
Hardcover
As understanding of the engineering design and configuration processes grows, the recognition that these processes intrinsically involve imprecise information is also growing.
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Fuzzy Sets in Engineering Design and Configuration

RRP$169.00

$152.10

  • Hardcover

    282 pages

  • Release Date

    30 September 1996

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Summary

This work presents some of the most recent research results that apply fuzzy sets to engineering design and configuration problems. These chapters cover the representation and manipulation of imprecise information during the synthesis of new designs and selection of configurations. The authors utilize the mathematics of fuzzy sets to represent information that has not yet been reduced to precise descriptions. In most cases, the mathematics of probability is also used to represent more traditional stochastic uncertainties such as uncontrolled manufacturing variations, etc. Presentations on fuzzy optimization and AHP methods are also included. These (fuzzy) set-based methods have particular application to concurrent engineering techniques.

Book Details

ISBN-13:9780792398028
ISBN-10:0792398025
Author:Hans-Jürgen Sebastian, Erik K. Antonsson
Publisher:Kluwer Academic Publishers
Imprint:Kluwer Academic Publishers
Format:Hardcover
Number of Pages:282
Edition:1996th
Release Date:30 September 1996
Weight:1.33kg
Dimensions:155mm x 235mm
Series:International Series in Intelligent Technologies
A-Format
B-Format
C-Format
Fuzzy Sets in Engineering Design and Configuration by Hans-Jürgen Sebastian - ISBN: 9780792398028
155 × 235 mm
A4
mm / in
What They're Saying

Critics Review

`The editors of this book are to be congratulated for assembling a very cohesive collection of works describing both theoretical issues and practical implementation strategies for the difficult field of design and configuration. This book will make a very useful tool to inspire some creative thinking by engineers attempting to produce efficiencies in their own design processes.
International Journal of Adaptive Control and Signal Processing, 12:6 (1998)

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